Azure Cosmos DB
Connection and object support require review
Record types to review with Stacksync
| Record types | Coverage and requirements |
|---|---|
| Confirm support for this record type and the direction you need. |
Plan how Azure Cosmos DB and Azure OpenAI should share data across your business. Work with Stacksync engineers on record mapping, system access, and the requirements for running the integration.
Proposed workflow
Planning example. Stacksync support for the required connection and record operations needs a technical review.
Starting eventA change involving Azure Cosmos DB Items (JSON documents) or Azure OpenAI Files needs a defined result in the other system.
Start with Azure Cosmos DB Items (JSON documents) and Azure OpenAI Files. Use the record-matching and field-ownership rules from your mapping worksheet.
Resolve folder/container and parent-record references before attaching metadata.
Test a normal update and one failed or repeated update in the supported direction. Keep both record IDs with the test results.
What to verifyTest a renamed file, a new version, a moved folder, and an access-restricted document.
Review records and field ownershipProposed record relationships
Use these examples to define record matching and field ownership for your technical review.
Download the mapping worksheetCSV · No email required
| Azure Cosmos DB record | Azure OpenAI record | Record matching | Field ownership |
|---|---|---|---|
| Items (JSON documents)Proposed record; confirm Stacksync object support.Record matching | FilesProposed record; confirm Stacksync object support. | Keep file/object ID, container, and version. A path can change and a filename can repeat. | Separate document content, metadata, and sharing permissions; a metadata sync does not imply file transfer or ACL replication. |
| Proposed file or document metadata tableProposed table; choose its name and schema.Reporting dataset | FilesProposed record; confirm Stacksync object support. | Keep file/object ID, container, and version. A path can change and a filename can repeat. | Separate document content, metadata, and sharing permissions; a metadata sync does not imply file transfer or ACL replication. |
| Proposed model or deployment metadata tableProposed table; choose its name and schema.Reporting dataset | ModelsProposed record; confirm Stacksync object support. | Keep provider/project, model or deployment ID, and version distinct. | The AI platform owner controls model deployment; metadata movement does not invoke a model or authorize model changes. |
These relationships do not establish connector availability. Review the required connection and record operations with Stacksync.
Use documented coverage where available. Catalog record types are starting points for review and do not confirm Stacksync support.
Connection and object support require review
Record types to review with Stacksync
| Record types | Coverage and requirements |
|---|---|
| Confirm support for this record type and the direction you need. |
Connection and object support require review
Record types to review with Stacksync
| Record types | Coverage and requirements |
|---|---|
| Confirm support for this record type and the direction you need. |
Confirm Stacksync support and account requirements for undocumented connections. Interface information alone does not establish connector availability.
View setup requirements and limits| Connection requirement | Azure Cosmos DB | Azure OpenAI |
|---|---|---|
| Integration interface | REST API and SDKs over HTTPS (API for NoSQL, formerly the SQL API); also MongoDB, Cassandra, Gremlin, and Table API surfaces | REST data-plane (inference + authoring) and Azure Resource Manager control-plane |
| Authentication | Confirm the credentials, API plan, and permissions required for Azure Cosmos DB. | Confirm the credentials, API plan, and permissions required for Azure OpenAI. |
| Change detection | Confirm how Stacksync detects changes for this connector and the objects you need. | Confirm how Stacksync detects changes for this connector and the objects you need. |
| Read access | Confirm with Stacksync | Confirm with Stacksync |
| Write access | Confirm with Stacksync | Confirm with Stacksync |
Enterprise controls
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Inspect sync errors and use retry and revert controls to resolve failed updates.
Read the recovery guideImplementation
Review setup, record relationships, testing, and recovery for your implementation.
Set up both accounts before testing the mapping. Use test records where available, and identify the account administrator who can approve access and help resolve setup errors.
Record the fields each system can update, the first-load cutoff, both record IDs, the expected update delay, and who handles errors. Complete the tests before production before expanding to more records.
Use the Azure Cosmos DB and Azure OpenAI planning worksheet to capture these decisions. Record the access owner in the worksheet and enter credentials only in the connection setup.
Use these data-model references to describe the records your connection needs. They are planning examples; connector availability and supported operations must be established before implementation.
Download the mapping worksheet · CSV, no email required
Record matching
Compare whether Azure Cosmos DB Items (JSON documents) and Azure OpenAI Files describe the same file or document metadata in your business.
Planning example. Stacksync support for the required connection and record operations needs a technical review.
Fields to include
Reporting dataset
Plan a file or document metadata dataset while preserving its source meaning.
Planning example. Stacksync support for the required connection and record operations needs a technical review.
Fields to include
Reporting dataset
Plan a model or deployment metadata dataset while preserving its source meaning.
Planning example. Stacksync support for the required connection and record operations needs a technical review.
Fields to include
Choose a method around one example record and the update your business needs. Use Items (JSON documents) / Files to review record matching and confirm Stacksync support for the required operations. Compare ongoing sync, a custom workflow, and a scheduled export against that requirement.
Planning example. Stacksync support for the required connection and record operations needs a technical review.
Starting event: A change to the selected Items (JSON documents) or Files record needs a defined result in the other system.
Expected result: Test a renamed file, a new version, a moved folder, and an access-restricted document.
If it fails: Check the current file version and destination access before retrying transfer or metadata updates.
Planning example. Stacksync support for the required connection and record operations needs a technical review.
Starting event: A change to the selected Proposed file or document metadata table in Azure Cosmos DB (choose its name) or Files record needs a defined result in the other system.
Expected result: Test a renamed file, a new version, a moved folder, and an access-restricted document.
If it fails: Check the current file version and destination access before retrying transfer or metadata updates.
Planning example. Stacksync support for the required connection and record operations needs a technical review.
Starting event: A change to the selected Proposed model or deployment metadata table in Azure Cosmos DB (choose its name) or Models record needs a defined result in the other system.
Expected result: Test a retired model, a renamed deployment, and an unauthorized project reference.
If it fails: Confirm the current deployment version and access before retrying a dependent action.
This is an evaluation scenario; connector and operation support require confirmation.
Starting event: A selected Azure Cosmos DB record is approved for use in an AI workflow associated with Azure OpenAI.
Expected result: A corrected or withdrawn source record is reflected in the approved AI context; a record from another tenant is excluded.
If it fails: Rebuild derived content from the current authorized source. Do not retry an outdated action or assume model output can be written back without review.
Keep both record IDs with the expected and actual result. Reconcile the same filters and time window in each system.
Test a renamed file, a new version, a moved folder, and an access-restricted document.
The expected file or document metadata relationship is preserved with no duplicate action or unintended write.
Test a renamed file, a new version, a moved folder, and an access-restricted document.
The expected file or document metadata relationship is preserved with no duplicate action or unintended write.
Test a retired model, a renamed deployment, and an unauthorized project reference.
The expected model or deployment metadata relationship is preserved with no duplicate action or unintended write.
Bring an example source record and the intended destination operation to the compatibility review. Confirm the supported route before granting write access.
Only an approved, supported direction and permitted fields are written.
Measure source and destination times for the selected records under normal load and a burst. Reconcile IDs and values using the same filters and cutoff.
The process meets its agreed freshness target and reconciliation has no unexplained differences.
Start with the failed record and the destination error, then inspect the source value, field requirements, and access.
Inspect Azure Cosmos DB Items (JSON documents) and Azure OpenAI Files, their IDs, and the destination error.
Check the current file version and destination access before retrying transfer or metadata updates.
Inspect Azure Cosmos DB Proposed file or document metadata table in Azure Cosmos DB (choose its name) and Azure OpenAI Files, their IDs, and the destination error.
Check the current file version and destination access before retrying transfer or metadata updates.
Inspect Azure Cosmos DB Proposed model or deployment metadata table in Azure Cosmos DB (choose its name) and Azure OpenAI Models, their IDs, and the destination error.
Confirm the current deployment version and access before retrying a dependent action.
Check the Azure Cosmos DB and Azure OpenAI connector guides, account permissions, and any operations marked On Request.
Ask the integration team to confirm a supported way to handle that record. Verify whether it needs connector configuration or a separate workflow step.
Compare current source values, destination validation, identity mappings, and any side effects already completed.
Stacksync issue retry reads the current source state. Decide the intended state before retrying or reverting; reconcile downstream effects separately.
Read the Stacksync issues dashboard guide for retry and revert behavior.
See how each system detects changes and which updates the other system can receive. Each direction has its own permissions and record requirements.
Detect changesConfirm how Stacksync detects changes for this connector and the objects you need.
Apply updatesConfirm that Stacksync can create or update the records you need in Azure OpenAI.
Detect changesConfirm how Stacksync detects changes for this connector and the objects you need.
Apply updatesConfirm that Stacksync can create or update the records you need in Azure Cosmos DB.
Explore a Azure Cosmos DB and Azure OpenAI integration with a Stacksync engineer. Stacksync support for Azure Cosmos DB and Azure OpenAI is not established by the connector documentation reviewed for this page. Start with one record and the update your business needs to identify an implementation path.
Confirm two-way support with Stacksync for the records and fields you need in both systems. Access to a vendor API does not confirm that its Stacksync connector supports write-back.
Prepare both accounts, the selected object schemas, stable source and destination IDs, and the expected outcome. Identify the Azure Cosmos DB account, edition, environment, and business objects the integration must access. Identify the Azure OpenAI account, edition, environment, and business objects the integration must access. Use the pair worksheet to record ownership and acceptance criteria.
Measure initial-load and ongoing-change latency separately. Source detection, selected objects, account limits, and destination validation determine the observed delay.
No. Stacksync documents that pre-existing duplicates are not merged automatically when two-way sync begins. Review the initial dataset and matching plan before enabling it; an empty destination can simplify the first load.
Start with one business entity and a stable record ID. Map a small set of editable fields with compatible types, test required values and relationships, then expand after the pilot passes.
Check the destination error, field constraints, permissions, and current source value. The Stacksync issues dashboard supports retry and revert; retry reads current source values, so verify the intended record state before acting.
Use the current Stacksync pricing page and confirm the supported implementation with the team. Scope the required objects, record volume, update frequency, initial load, and support needs when comparing a managed connector with native or custom development.
Start by reviewing Items (JSON documents) in Azure Cosmos DB and Files in Azure OpenAI. Check how these records relate in your workflow, then confirm the actual fields and supported operations. Test record matching and one failed or repeated update before adding more records.
Choose a method around one example record and the update your business needs. Use Items (JSON documents) / Files to review record matching and confirm Stacksync support for the required operations. Compare ongoing sync, a custom workflow, and a scheduled export against that requirement.
Next step
Walk through your Azure Cosmos DB and Azure OpenAI records, field mappings, and requirements with an integration engineer.